首页 > 市场调查报告书 > 通讯

MLOps市场规模、份额和成长分析（按组件、部署模式、垂直产业和地区划分）－2026-2033年产业预测

市场调查报告书

商品编码

1907593

MLOps市场规模、份额和成长分析（按组件、部署模式、垂直产业和地区划分）－2026-2033年产业预测

MLOps Market Size, Share, and Growth Analysis, By Component (Platform, Services), By Deployment (On-Premises, Cloud), By Vertical, By Region -Industry Forecast 2026-2033

出版日期: 2025年12月23日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格

简介目录

全球 MLOps 市场规模预计在 2024 年达到 19.7 亿美元，从 2025 年的 27.7 亿美元增长到 2033 年的 428.4 亿美元，在预测期（2026-2033 年）内复合年增长率为 40.8%。

全球机器学习运维 (MLOps) 市场正经历显着成长，这主要得益于各行业对机器学习和人工智慧 (AI) 解决方案日益增长的需求。这种快速成长源自于企业持续推动数位转型，寻求创新方法来提升客户参与、效率和盈利。医疗保健产业尤其突出，成为 MLOps 的关键应用领域，利用 MLOps 来改善患者治疗效果并加速服务交付。影像分析和预测建模等技术正在变革诊断和治疗流程，而 MLOps 则确保符合严格的隐私法规。随着 AI 和 ML 技术在医疗保健领域的整合日益加深，对能够应对模型部署、监控和持续改进等挑战的强大 MLOps 解决方案的需求变得至关重要，这使得医疗保健行业成为市场成长的关键驱动力。

全球 MLOps 市场驱动因素

全球机器学习运维 (MLOps) 市场的主要驱动力之一是机器学习流程自动化需求的不断增长。随着企业寻求提高营运效率并加快人工智慧解决方案的上市速度，高效的工作流程以及资料科学家和 IT 团队之间的紧密协作变得至关重要。 MLOps 作为一个关键框架，能够实现机器学习模型的生命週期管理，确保无缝整合、部署和监控。这种对大规模机器学习运作的日益重视，有助于企业充分释放资料潜力，推动各产业的创新，并保持竞争优势。

限制全球MLOps市场的因素

全球机器学习运作（MLOps）市场的主要限制因素之一是缺乏具备机器学习和维运管理专业知识的技能人才。成功实施MLOps需要兼具软体开发、资料工程和机器学习技能的人才，这对于寻求部署有效解决方案的组织而言是一项重大挑战。这种人才短缺阻碍了MLOps实践的普及，并可能导致机器学习模型利用率不足和决策流程优化不足。此外，科技的快速发展要求持续学习和适应，这使得组织难以充分培训员工并使其保持与时俱进。

全球MLOps市场趋势

随着各机构日益认识到人工智慧和机器学习在提升营运效率和改善患者照护的价值，MLOps市场正经历显着成长，尤其是在医疗保健领域。 MLOps解决方案正被广泛应用于简化预测模型、影像分析和个人化治疗方案的开发和部署，使医疗服务提供者能够提供更精准、更及时的干预措施。这一趋势的驱动力源于对能够改善患者预后并支持数据驱动决策的先进医疗技术的需求。在监管合规性和扩充性仍然至关重要的前提下，MLOps的整合有望重新定义未来医疗服务的模式。

北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 亚太其他地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区

竞争资讯

前五大公司对比
主要企业的市场定位（2025 年）
主要市场参与者所采取的策略
近期市场趋势
公司市占率分析（2025 年）
主要企业公司简介
- 公司详情
- 产品系列分析
- 依业务板块进行公司股票分析
- 2023-2025年营收年比比较

主要企业简介

Seldon（United Kingdom）
Siemens（Germany）
Hewlett Packard Enterprise（HPE）（United States）
Key Developments
ClearML（United States）
Modzy（United States）
Comet（United States）
UbiOps（Netherlands）
RedBrick AI（India）
Datrics（United States）
CapeStart（United States）
Arrikto（United States）
Datatron（United States）
Neuro Inc.（United States）
AIron（United States）
Monitor ML（United States）
H2O.ai（United States）
Mission Automate（United States）
Reliam Inc.（United States）
Amazon Web Services（AWS）（United States）

结论与建议

简介目录

Product Code: SQMIG45D2064

Global MLOps Market size was valued at USD 1.97 Billion in 2024 and is poised to grow from USD 2.77 Billion in 2025 to USD 42.84 Billion by 2033, growing at a CAGR of 40.8% during the forecast period (2026-2033).

The global MLOps market is experiencing significant growth, driven by the increasing demand for machine learning and AI solutions across various sectors. This surge is influenced by the shift toward digital transformation, with organizations seeking innovative ways to enhance customer engagement, efficiency, and profitability. The healthcare sector stands out as a key adopter, leveraging MLOps for improved patient outcomes and faster service delivery. Techniques such as image analysis and predictive modeling are transforming diagnostic and treatment processes, while MLOps ensures compliance with stringent privacy regulations. As healthcare increasingly integrates AI and ML technologies, the need for robust MLOps solutions to address challenges in model deployment, monitoring, and ongoing improvement becomes crucial, positioning the industry as a vital contributor to market growth.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global MLOps market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global MLOps Market Segments Analysis

Global MLOps Market is segmented by Component, Deployment Mode, Organization Size, End Use and region. Based on Component, the market is segmented into Platform and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on End Use, the market is segmented into Banking, Financial Services, and Insurance, Retail and eCommerce, Government and Defense, Healthcare and Life Sciences, Manufacturing, Telecom, IT and ITeS, Energy and Utilities, Transportation and Logistics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global MLOps Market

One of the key market drivers for the Global MLOps Market is the increasing demand for automation in machine learning processes. As organizations strive to enhance operational efficiency and accelerate time-to-market for AI solutions, the need for streamlined workflows and robust collaboration between data scientists and IT teams is paramount. MLOps serves as a crucial framework that enables businesses to manage the lifecycle of machine learning models, ensuring seamless integration, deployment, and monitoring. This growing focus on operationalizing machine learning at scale helps companies unlock the full potential of their data, driving innovation and maintaining a competitive edge across various industries.

Restraints in the Global MLOps Market

One of the key market restraints for the global MLOps market is the shortage of skilled professionals with expertise in machine learning and operations management. The successful implementation of MLOps requires a blend of skills in software development, data engineering, and machine learning, which can pose a significant challenge for organizations seeking to deploy effective solutions. This talent gap can hinder the adoption of MLOps practices, leading to underutilized machine learning models and suboptimal decision-making processes. Furthermore, the rapid evolution of technology necessitates continuous learning and adaptation, making it difficult for organizations to keep their workforce adequately trained and up-to-date.

Market Trends of the Global MLOps Market

The MLOps market is witnessing significant growth, particularly in the healthcare sector, as organizations increasingly recognize the value of AI and machine learning in enhancing operational efficiencies and patient care. MLOps solutions are being adopted to streamline the development and deployment of predictive models, image analysis, and personalized treatment plans, thus enabling healthcare providers to deliver more accurate and timely interventions. This trend is propelled by the demand for advanced healthcare technologies that improve patient outcomes and support data-driven decision-making. As regulatory compliance and scalability remain critical, the integration of MLOps is positioned to redefine the future landscape of healthcare delivery.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2025
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Regulatory Landscape
Case Studies
Technological Advancement

Global MLOps Market Size by Component & CAGR (2026-2033)

Market Overview
Platform
Services

Global MLOps Market Size by Deployment Mode & CAGR (2026-2033)

Market Overview
On-Premises
Cloud

Global MLOps Market Size by Organization Size & CAGR (2026-2033)

Market Overview
Large Enterprises
SMEs

Global MLOps Market Size by End Use & CAGR (2026-2033)

Market Overview
Banking, Financial Services, and Insurance
Retail and eCommerce
Government and Defense
Healthcare and Life Sciences
Manufacturing
Telecom
IT and ITeS
Energy and Utilities
Transportation and Logistics
Others

Global MLOps Market Size & CAGR (2026-2033)

North America (Component, Deployment Mode, Organization Size, End Use)
- US
- Canada
Europe (Component, Deployment Mode, Organization Size, End Use)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Component, Deployment Mode, Organization Size, End Use)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Component, Deployment Mode, Organization Size, End Use)
- Brazil
- Rest of Latin America
Middle East & Africa (Component, Deployment Mode, Organization Size, End Use)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

Seldon (United Kingdom)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hewlett Packard Enterprise (HPE) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
Key Developments
ClearML (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Modzy (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Comet (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
UbiOps (Netherlands)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
RedBrick AI (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Datrics (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
CapeStart (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Arrikto (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Datatron (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Neuro Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
AIron (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Monitor ML (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
H2O.ai (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Mission Automate (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Reliam Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments